naa a22 4500 510725244 CHVBK 20180411082932.0 cr unu---uuuuu 180411e20131201xx s 000 0 eng 10.1007/s11947-012-0951-1 doi (NATIONALLICENCE)springer-10.1007/s11947-012-0951-1 Comparison of ROC Feature Selection Method for the Detection of Decay in Citrus Fruit Using Hyperspectral Images [Elektronische Daten] [D. Lorente, J. Blasco, A. Serrano, E. Soria-Olivas, N. Aleixos, J. Gómez-Sanchis] Hyperspectral imaging systems allow to detect the initial stages of decay caused by fungi in citrus fruit automatically, instead of doing it manually under dangerous ultraviolet illumination, thus preventing the fungal infestation of other sound fruit and, consequently, the enormous economical losses generated. However, these systems present the disadvantage of generating a huge amount of data, which is necessary to select for achieving some result useful for the sector. There are numerous feature selection methods to reduce dimensionality of hyperspectral images. This work compares a feature selection method using the area under the receiver operating characteristic (ROC) curve with other common feature selection techniques, in order to select an optimal set of wavelengths effective in the detection of decay in a citrus fruit using hyperspectral images. This comparative study is done using images of mandarins with the pixels labelled in five different classes: two types of healthy skin, two types of decay and scars, ensuring that the ROC technique generally provides better results than the other methods. Springer Science+Business Media, LLC, 2012 Computer vision nationallicence Citrus fruit nationallicence Decay nationallicence Non-destructive inspection nationallicence Hyperspectral imaging nationallicence ROC curve nationallicence Feature selection nationallicence Lorente D. Centro de Agroingeniería, Instituto Valenciano de Investigaciones Agrarias (IVIA), Cra. Moncada-Náquera km 5, 46113, Moncada, Valencia, Spain aut Blasco J. Centro de Agroingeniería, Instituto Valenciano de Investigaciones Agrarias (IVIA), Cra. Moncada-Náquera km 5, 46113, Moncada, Valencia, Spain aut Serrano A. Intelligent Data Analysis Laboratory, IDAL, Electronic Engineering Department, Universitat de València, Avda. Universitat s/n, 46100, Burjassot, Valencia, Spain aut Soria-Olivas E. Intelligent Data Analysis Laboratory, IDAL, Electronic Engineering Department, Universitat de València, Avda. Universitat s/n, 46100, Burjassot, Valencia, Spain aut Aleixos N. Instituto en Bioingeniería y Tecnología Orientada al Ser Humano, Universitat Politècnica de València, Camino de Vera s/n, 46022, Valencia, Spain aut Gómez-Sanchis J. Intelligent Data Analysis Laboratory, IDAL, Electronic Engineering Department, Universitat de València, Avda. Universitat s/n, 46100, Burjassot, Valencia, Spain aut Food and Bioprocess Technology Springer US; http://www.springer-ny.com 6/12(2013-12-01), 3613-3619 1935-5130 6:12<3613 2013 6 11947 https://doi.org/10.1007/s11947-012-0951-1 text/html Onlinezugriff via DOI 1 brief-communication jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11947-012-0951-1 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Lorente D. Centro de Agroingeniería, Instituto Valenciano de Investigaciones Agrarias (IVIA), Cra. Moncada-Náquera km 5, 46113, Moncada, Valencia, Spain aut NATIONALLICENCE 700 1- Blasco J. Centro de Agroingeniería, Instituto Valenciano de Investigaciones Agrarias (IVIA), Cra. Moncada-Náquera km 5, 46113, Moncada, Valencia, Spain aut NATIONALLICENCE 700 1- Serrano A. Intelligent Data Analysis Laboratory, IDAL, Electronic Engineering Department, Universitat de València, Avda. Universitat s/n, 46100, Burjassot, Valencia, Spain aut NATIONALLICENCE 700 1- Soria-Olivas E. Intelligent Data Analysis Laboratory, IDAL, Electronic Engineering Department, Universitat de València, Avda. Universitat s/n, 46100, Burjassot, Valencia, Spain aut NATIONALLICENCE 700 1- Aleixos N. Instituto en Bioingeniería y Tecnología Orientada al Ser Humano, Universitat Politècnica de València, Camino de Vera s/n, 46022, Valencia, Spain aut NATIONALLICENCE 700 1- Gómez-Sanchis J. Intelligent Data Analysis Laboratory, IDAL, Electronic Engineering Department, Universitat de València, Avda. Universitat s/n, 46100, Burjassot, Valencia, Spain aut NATIONALLICENCE 773 0- Food and Bioprocess Technology Springer US; http://www.springer-ny.com 6/12(2013-12-01), 3613-3619 1935-5130 6:12<3613 2013 6 11947 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer